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Denis Derkach
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2020 – today
- 2024
- [c1]Tigran Ramazyan
, Mikhail Hushchyn
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. ECAI 2024: 2394-2401 - [i19]Tigran Ramazyan, Mikhail Hushchyn, Denis Derkach:
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. CoRR abs/2407.11917 (2024) - 2023
- [j6]Artem Ryzhikov
Latent Stochastic Differential Equations for Change Point Detection. IEEE Access 11: 104700-104711 (2023) - [j5]Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach
Symbolic expression generation via variational auto-encoder. PeerJ Comput. Sci. 9: e1241 (2023) - [i18]Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin
Symbolic expression generation via Variational Auto-Encoder. CoRR abs/2301.06064 (2023) - [i17]Lucio Anderlini, Matteo Barbetti, Simone Capelli, Gloria Corti, Adam Davis, Denis Derkach, Nikita Kazeev, Artem Maevskiy, Maurizio Martinelli, Sergei Mokonenko, Benedetto Gianluca Siddi, Zehua Xu:
The LHCb ultra-fast simulation option, Lamarr: design and validation. CoRR abs/2309.13213 (2023) - 2022
- [j4]Roel Aaij, Marta Adinolfi, Salvatore Aiola, S. Akar, Johannes Albrecht
A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger. Comput. Softw. Big Sci. 6(1) (2022) - [i16]Lucio Anderlini, Matteo Barbetti, Denis Derkach, Nikita Kazeev, Artem Maevskiy, Sergei Mokhnenko:
Towards Reliable Neural Generative Modeling of Detectors. CoRR abs/2204.09947 (2022) - [i15]Mariia Demianenko
Supernova Light Curves Approximation based on Neural Network Models. CoRR abs/2206.13306 (2022) - [i14]Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach:
Latent Neural Stochastic Differential Equations for Change Point Detection. CoRR abs/2208.10317 (2022) - [i13]Mariia Demianenko
Toward an understanding of the properties of neural network approaches for supernovae light curve approximation. CoRR abs/2209.07542 (2022) - 2021
- [j3]Stanislav Dobryakov
Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog. Astron. Comput. 35: 100451 (2021) - [j2]Artem Ryzhikov, Maxim Borisyak
NFAD: fixing anomaly detection using normalizing flows. PeerJ Comput. Sci. 7: e757 (2021) - 2020
- [j1]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. J. Mach. Learn. Res. 21: 72:1-72:22 (2020) - [i12]Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn:
Variational Dropout Sparsification for Particle Identification speed-up. CoRR abs/2001.07493 (2020) - [i11]Fedor Ratnikov, Denis Derkach, A. Boldyrev, Andrey Shevelev, P. Fakanov, L. Matyushin:
Using machine learning to speed up new and upgrade detector studies: a calorimeter case. CoRR abs/2003.05118 (2020) - [i10]Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn:
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog. CoRR abs/2006.10489 (2020) - [i9]Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach:
Online Neural Networks for Change-Point Detection. CoRR abs/2010.01388 (2020)
2010 – 2019
- 2019
- [i8]Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova:
Cherenkov Detectors Fast Simulation Using Neural Networks. CoRR abs/1903.11788 (2019) - [i7]Artem Maevskiy, Denis Derkach, Nikita Kazeev, Andrey Ustyuzhanin, Maksim Artemev, Lucio Anderlini:
Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks. CoRR abs/1905.11825 (2019) - [i6]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. CoRR abs/1906.06096 (2019) - [i5]Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach:
Normalizing flows for deep anomaly detection. CoRR abs/1912.09323 (2019) - 2017
- [i4]Denis Derkach, Nikita Kazeev, R. Neychev, A. Panin, I. Trofimov, Andrey Ustyuzhanin, Mika Vesterinen:
LHCb trigger streams optimization. CoRR abs/1702.05262 (2017) - [i3]Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin:
Towards automation of data quality system for CERN CMS experiment. CoRR abs/1709.08607 (2017) - [i2]Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous:
Numerical optimization for Artificial Retina Algorithm. CoRR abs/1709.08610 (2017) - [i1]V. Azzolini, Maxim Borisyak, Gianluca Cerminara, Denis Derkach, Giovanni Franzoni, F. De Guio, O. Koval, Maurizio Pierini, Adrian Alan Pol
Deep learning for inferring cause of data anomalies. CoRR abs/1711.07051 (2017)
Coauthor Index
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